AI-Based Clinical Orientation for Nursing Students (ClinicOrient)

May 3, 2026 updated by: Fatma Taş Arslan, Selcuk University

The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice

Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical practice.Materials and Methods: The study population will consist of 186 third-year nursing students enrolled in the spring semester at a state university. The sample will include 90 students (45 intervention, 45 control) who meet the study criteria and volunteer to participate. Students in the intervention group will receive an AI-based clinical orientation program, while the control group will receive no additional intervention beyond the standard faculty and hospital orientation. Data will be collected between February and March 2026 using a "Descriptive Information Form," the "Clinical Adaptation Scale for Student Nurses," and the "Therapeutic Communication Skills Scale for Nursing Students" in a pre-test/post-test design.Statistical Analysis: Data will be analyzed using SPSS 25.0. Descriptive statistics (frequency, percentage, mean, and standard deviation) will be used. Normality will be assessed via Kolmogorov-Smirnov/Shapiro-Wilk tests. For group comparisons, Chi-square, ANOVA, independent samples t-test, Mann-Whitney U, and Wilcoxon tests will be utilized. The statistical significance level will be set at $p < 0.05$.Ethical Considerations: Ethical committee approval and necessary permissions from scale authors will be obtained before the study begins. Informed consent will be collected from all participants after explaining the study objectives.Keywords: Orientation training, nursing, student, artificial intelligence, clinical practice.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

90

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • Turkey (Türkiye)
    • Konya
      • Konya, Konya, Turkey (Türkiye), 42250
        • Selcuk University
    • Selçuklu
      • Konya, Selçuklu, Turkey (Türkiye), 42060
        • Selcuk University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Being enrolled in the Pediatric Nursing course for the first time.
  • Being a third-year nursing student.
  • Providing voluntary informed consent to participate in the study.

Exclusion Criteria:

  • Being absent during the course of the study.
  • Currently being employed as a healthcare professional.
  • Having a frozen enrollment status.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control Group
Students who do not receive AI-supported orientation training.
Experimental: Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)
Students receiving AI-supported orientation training
Other: Artificial Intelligence-Based Clinical Orientation Program
The program was implemented via a researcher-developed website featuring seven modules: Therapeutic Communication, Patient Safety, Medical Equipment, Infection Control, Care Plans, Ethics/Privacy, and Stress Management. AI was utilized to develop scenarios, create audiovisual materials, and simulate realistic clinical environments. Each 5-minute video used no real patient data. A sequential progression was enforced, requiring completion of one module to start the next. Knowledge was assessed after each module via 5-10 Kahoot questions. A gamified approach was used where the fastest, most accurate students earned digital badges, with the top three overall being recognized as winners. Content validity was ensured through expert opinions from pediatric nursing faculty, and necessary adjustments were made based on their feedback.
Other Names:
  • Intervention Group

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Introductory Information Form
Time Frame: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
The form was developed by the researchers in line with the relevant literature. The form consists of 3 sections and 8 questions: descriptive characteristics (age, gender, grade point average), information related to clinical adaptation (difficulty in adapting when first starting the clinical environment, difficulty in communicating with patients/families during clinical practice, and experiencing anxiety-stress before clinical practice), and information related to artificial intelligence (use of artificial intelligence programs and willingness to learn and use technological developments such as artificial intelligence).
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical Adaptation Scale for Student Nurses
Time Frame: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
The scale was to comprehensively evaluate the clinical adaptation of student nurses in clinical practice. It was adapted into Turkish. The scale has three subdimensions: Professional Development and Interpersonal Interaction, Clinical Competence and Confidence, and Coping and Support Strategies. It consists of 15 items in a 5-point Likert-type format. The total score ranges from 15 to 75. A higher score indicates better clinical adaptation. The scale does not have a defined cut-off point or reverse-coded items. The Cronbach's alpha coefficient of the scale is 0.91.
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Therapeutic Communication Skills Scale for Nursing Students
Time Frame: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
The scale was to determine the therapeutic communication skills of nursing students. It has three subdimensions: Non-therapeutic Communication Skills, Therapeutic Communication Skills 1, and Therapeutic Communication Skills 2. The scale consists of 16 items in a 7-point Likert-type format (1 = Never, 4 = Sometimes, 7 = Always). There are no reverse-coded items in the scale. The maximum possible score is 168, and the minimum possible score is 24. The Cronbach's alpha value of the "Therapeutic Communication Skills Scale for Nursing Students" is 0.775.
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Selcuk University

Investigators

  • Principal Investigator: Fatma Tas Arslan, Selcuk University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 30, 2026

Primary Completion (Estimated)

May 11, 2026

Study Completion (Estimated)

June 11, 2026

Study Registration Dates

First Submitted

April 16, 2026

First Submitted That Met QC Criteria

April 26, 2026

First Posted (Actual)

May 4, 2026

Study Record Updates

Last Update Posted (Actual)

May 7, 2026

Last Update Submitted That Met QC Criteria

May 3, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • SU-Clinic Orient

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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